The ASH Practice Improvement Module in Non-Hodgkin Lymphoma: Assessing the Feasibility, Reliability and Usefulness of a New Quality Improvement Tool
Notice bibliographique
Résumé
Abstract Background:The American Society of Hematology Practice Improvement Modules (ASH PIMs) are online tools designed for clinicians to monitor the quality of care in their practice. The ASH PIM for non-Hodgkin lymphoma (NHL) was designed by a committee of NHL experts and was recently released in the ASH Academy. The ASH PIM for NHL defines quality metrics in six areas: pathological diagnosis, staging, Hepatitis B testing, use of growth factors, vaccination, and fertility counseling. Objectives:1) Use the ASH PIM for NHL to measure quality of care at 4 cancer centers in the Greater Toronto Area. 2) Assess the feasibility, reliability, and usefulness of the ASH PIM for NHL. Methods:To measure quality of care, 78 patients undergoing first line chemotherapy for NHL were reviewed at 4 cancer centers (3 academic centers and 1 community center) near Toronto, Canada. Two hematology fellows independently scored each patient chart for the 6 quality metrics in the ASH PIM. After data collection, interviews (using structured questionnaires) were conducted with the chart reviewers as well as with physicians experienced at treating NHL. Results: Three out of the 4 cancer centers had high performances (>90%) in pathological diagnosis and staging. Two of the 4 centers had high performances for Hepatitis B testing. Zero of the 4 centers had high performances for documenting growth factor use, vaccinations and fertility counseling. A feasibility questionnaire revealed that each chart required 15 minutes for review. Reviewers noted that the ASH PIM for NHL was clear for how to score pathological diagnosis, staging, and hepatitis B testing (mean score >4 out of 5 for clarity), but unclear for how to score the use of vaccinations (mean 2.3/5). Reviewers were able to accurately score pathological diagnosis, staging, and hepatitis B (mean >4/5 for perceived accuracy), but were unable to accurately score vaccination and fertility counseling (mean <3/5). Interviews revealed concern that practices around vaccination and fertility counseling were not being well documented in the medical record. Inter-rater reliability was high across all 6 metrics (Gwet’s first order agreement coefficient 0.81 – 0.97). Of the 6 metrics, experienced NHL physicians rated pathological diagnosis and staging as most important, with vaccination and growth factor use rated as least important. When provided with the performance data for their own center, the results were perceived to accurately reflect patient care in 5 out of 6 of the metrics. Performance on fertility counseling was thought to be under-estimated due to poor documentation. Overall, the ASH PIM for NHL was perceived to capture the quality of patient care moderately well. Areas not captured by the ASH PIM, but perceived to be important to NHL patient care included: the reduction of delays between lymphoma suspicion and first treatment, patient satisfaction, and advanced care planning. Conclusions: The ASH PIM for NHL is feasible, reliable, and measures a number of important aspects of patient care. Some metrics could be made clearer by including more explicit definitions. Performance on the metrics relying on clinical documentation was not as high as for those relying on objective testing. The performance of cancer centers in the Greater Toronto Area on the ASH PIM for NHL suggests specific areas for quality improvement at each center. Disclosures Hicks: Gilead: Research Funding.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,052 | 0,117 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».